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🔥 Staff Machine Learning Engineer

Posted about 9 hours ago

🧭 Full-Time

💸 185000.0 - 315000.0 USD per year

🔍 Financial Operations

🏢 Company: Ramp👥 501-1000💰 $150,000,000 Series D 11 months agoFinancial Services Finance FinTech

🔧 Requirements

Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 5 years of industry experience as a Machine Learning Engineer, Applied Scientist or Data Scientist
Strong python experience (numpy, pandas, sklearn, pytorch etc.) across ML techniques and back end engineering
Prior experience deploying Machine Learning models to production and making meaningful contribution to backend systems
Strong knowledge of SQL (preferably Snowflake, BigQuery)
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions

💡 Responsibilities

Employ statistical and machine learning on large datasets to discover patterns of account takeovers and identity theft
Prototype and productionalize machine learning models and rules-based systems to protect user accounts
Partner closely with Identity Engineering and Data Platform teams to augment and leverage data across first and third party sources, ensuring we’ve added as much context as possible to every decision we make
Contribute to the culture of Ramp’s machine learning team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way

Backend Development Python SQL Machine Learning Numpy PyTorch Snowflake Data engineering Pandas Data modeling Software Engineering

Posted about 9 hours ago

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🔥 Backend Data Developer - Scraping & Conversión de Java a Python

Posted about 9 hours ago

📍 Argentina, Colombia, Peru, Bolivia, Plurinational State of, Mexico

🧭 Contract

💸 2300.0 - 2500.0 USD per month

🔍 Software Development

🏢 Company: Workana

🔧 Requirements

Experience with Selenium, Puppeteer or Playwright.
Experience with Java (Spring Boot, Jsoup, HttpClient) and Python (Scrapy, Selenium, Playwright, FastAPI).
Experience with pandas and NumPy.
Knowledge in SQL databases (PostgreSQL, MySQL, SQL Server).
Implementation of scrapers in scalable environments with Docker and Kubernetes.
Deployment in AWS or GCP.

💡 Responsibilities

Development and maintenance of scrapers for extracting data from web portals.
Refactorization and optimization of legacy scrapers in Java towards Python.
Implementation of more efficient architectures to improve performance.

AWS Backend Development Docker GraphQL PostgreSQL Python SQL Apache Airflow ETL GCP Java Java EE Kubernetes MySQL Numpy Spring Boot Data engineering FastAPI REST API Pandas Selenium CI/CD Microservices JSON Data management

Posted about 9 hours ago

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🔥 Senior Machine Learning Engineer II

Posted about 18 hours ago

📍 India

🔍 Software Development

🏢 Company: Apollo.io👥 501-1000💰 $100,000,000 Series D over 1 year agoSoftware Development

🔧 Requirements

8+ years of experience building Machine Learning or AI systems
Experience deploying and managing machine learning models in the cloud
Experience working with fine tuning LLMs and prompt engineering
Strong analytical and problem-solving skills
Proven software engineering skills in production environment, primarily using Python
Experience with Machine Learning software tools and libraries (e.g., Scikit-learn, TensorFlow, Keras, PyTorch, etc.)

💡 Responsibilities

Design, build, evaluate, deploy and iterate on scalable Machine Learning systems
Understand the Machine Learning stack at Apollo and continuously improve it
Build systems that help Apollo personalize their users’ experience
Evaluate the performance of machine learning systems against business objectives
Develop and maintain scalable data pipelines that power our algorithms
Implement automated monitoring, alerting, self-healing (restartable/graceful failures) features while productionizing data & ML workflows
Write unit/integration tests and contribute to engineering wiki

Python SQL Apache Airflow Cloud Computing Data Analysis Keras Machine Learning MLFlow Numpy PyTorch Algorithms REST API Tensorflow Software Engineering

Posted about 18 hours ago

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🔥 Staff Machine Learning Engineer, Inclusive AI

Posted 2 days ago

📍 United States

💸 233302.0 - 480328.0 USD per year

🔍 Software Development

🔧 Requirements

Experienced Engineer with production experience in ML and responsible technology (fairness, diversity, equity) deployments in production systems.
Familiarity with state of the art ML approaches, especially within the Search and RecSys space, such as transformer based architectures, n-tower architectures, LLMs, etc.
Hands-on experience building, deploying, and measuring ML Fairness at a very large scale. Successful candidates in this role need to be able to bridge state of the art approaches to real world impact.
Some experience in leadership roles where the candidate has been able to define a vision, strategy and plans, with concrete OKRs and execute on them to deliver solutions in production that have a positive impact for users.
8+ years working experience in the engineering teams that build large-scale ML-driven user-facing products.
3+ years experience leading cross-team engineering efforts.
MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
Experience in working on backend and ML systems for large-scale user-facing products, and have a good understanding of how they all work.
Experience in closely collaborating with other engineering teams to ship ML technologies to improve fairness and reduce bias for recommendation, content understanding, and ranking systems at scale.

💡 Responsibilities

Lead projects in the responsible AI frontier, to identify, avoid, and mitigate bias across a wide range of ML applications at Pinterest including generative AI.
Collaborate with other engineering teams (infra. user modeling, content understanding) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Inclusive AI and ML Fairness tooling across Pinterest.
Mentor junior engineers on the Inclusive AI team and across the company on the Inclusive AI / ML Fairness space.
Work with the team and senior leaders at the company to define and drive technical strategy in this area.

AWS Backend Development Leadership Python Software Development SQL Artificial Intelligence Cloud Computing Data Analysis Image Processing Keras Machine Learning MLFlow Numpy PyTorch Cross-functional Team Leadership Algorithms Data Structures REST API Tensorflow Mentoring

Posted 2 days ago

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🔥 Graduate PhD Summer Intern – AI/ML Software Developer

Posted 4 days ago

📍 United States of America

🧭 Internship

💸 50200.0 - 80300.0 USD per year

🔍 Software Development

🏢 Company: NREL

🔧 Requirements

Only current PhD students will be considered for this internship.
Experience in deep learning models, Bayesian neural networks, graph neural network models, and probabilistic semantic graphs.
Experience in the formulation of mixed-integer optimization problems and open-source solvers for sensor placement in distribution systems.
Demonstrated experience in programming languages such as Python and MATLAB.
Experience with open-source, collaborative software development and use of tools such as GitHub or GitLab for project management and version control.

💡 Responsibilities

Develop sensor placement and optimization software tools for modern distribution power systems integrated with clean energy resources such as Photovoltaics, batteries, EV Charging Stations, and electric vehicles.
Contribute to the development of deep learning models such as Bayesian neural networks, graph neural networks, probabilistic semantic graphs, and Generative AI to detect anomalies such as missing data, bad data, and communications failure in sensor data.
Development of data driven forecasting and disaggregation models and validation of both centralized and distributed state estimation algorithms.

Python Git Machine Learning Matlab Numpy Tensorflow

Posted 4 days ago

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🔥 Practice Director, Data & AI - US-Based

Posted 5 days ago

📍 United States

🧭 Full-Time

🔍 Data & AI

🔧 Requirements

15+ years of experience in your practice, with preferably 5+ years in a leadership role within data and AI-focused services.
3+ years managing a business, preferably with P&L responsibility, and proven track record for overseeing financial performance, identifying areas for improvement, and driving profitability and growth.
Strong knowledge of data management, AI governance, machine learning, and AI-driven analytics techniques and technologies, and Generative AI (e.g., large language models, fine-tuning, retrieval-augmented generation).
In-depth knowledge of statistical methodologies, deep learning algorithms, and AI applications in real-world business contexts.
Proficiency in using AI and data science tools (e.g. Python, TensorFlow, PyTorch, SQL, Tableau, etc.).
Experience in marketing, finance, healthcare, or e-commerce industries.
Experience packaging, pricing, and delivering compelling solutions.
Passion for AI innovation and ability to drive thought leadership in the field.

💡 Responsibilities

Strategy: Which clients and buyers do we target, and what problems do we help them solve.
Offering Development: Develop attractive, scalable offerings that resonate with specific customer segments.
Go-to-Market: Take services and offerings to market; first, by leading from the front to establish product-market fit with our clients, and then by working with our Practices Operations team to scale adoption and the commercial impact of offerings.
Marketing: Develop thought leadership and campaigns that highlight our competitive differentiation, elevate our reputation in the market, attract great talent to our network, and generate leads for sales.
Sales: Understand current and future demand and enable, educate, and directly support the salesforce to position this practice best. Lead client conversations, presenting Toptal’s point-of-view and asking exploratory questions to understand client needs better.
Managing the Business: Lead the business from a sales, revenue, and profitability perspective by understanding the key P&L levers.
Delivery: Drive the success of consulting projects by owning both sales and delivery end-to-end. Lead and inspire high-performing teams, craft innovative frameworks, and take an active role in delivering impactful results. You’ll seamlessly blend sales and execution to create exceptional client outcomes.
Talent: Ensure our talent network is prepared to meet the demands of the market (e.g., the right skills in the right capacities) as well as foster an ongoing sense of community amongst the network of professionals in this practice area.

AWS Leadership Python SQL Artificial Intelligence Business Development Business Intelligence Cloud Computing Data Analysis ETL Machine Learning Numpy PyTorch Algorithms Data science Tensorflow Sales experience Data visualization Marketing Strategic thinking Financial analysis Data modeling Data management

Posted 5 days ago

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🔥 Full Stack Software Engineer - Python, Angular & AI

Posted 5 days ago

📍 Mexico, Colombia, Peru, Uruguay

🔍 Software Development

🏢 Company: DaCodes

🔧 Requirements

Conocimientos solidos de Python preferible nivel Avanzado.
Conocimiento de Flask y FastApi
Background en C# (.NET 5/6+) y Java (Spring Framework), así mismo conocer visual studio code y visual studio 2022
Conocimientos de Inteligencia Artificial
Conocimiento de Machine Learning, Deep Learning, NLP
Conocimientos de programación con IA: GPT-4 de OpenAI, Google Vertex AI, DeepSeek, Amazon SageMaker.
Conocimientos de HTML, CSS Y JAVASCRIPT
Jquery
Angular

💡 Responsibilities

Desarrollo, implentación y gestion de APIs

Backend Development Python SQL Artificial Intelligence Data Analysis Data Mining Flask Frontend Development Full Stack Development Git HTML CSS Image Processing Java Javascript jQuery Keras Machine Learning Numpy OAuth Spring C#API testing FastAPI JDBC Angular Pandas Tensorflow RESTful APIs

Posted 5 days ago

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🔥 Lead AI Engineer (Indonesia)

Posted 5 days ago

📍 Indonesia

🔍 Financial Services

🏢 Company: Bjak👥 101-250 Price Comparison InsurTech Information Technology

🔧 Requirements

Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
Proven experience as an AI engineer or data scientist, with a track record of leading successful AI projects.
Proficiency in AI and machine learning frameworks and programming languages (e.g., Python).
Strong expertise in data preprocessing, feature engineering, and model evaluation.
Excellent problem-solving and critical-thinking skills.
Effective leadership, communication, and team management abilities.
A passion for staying at the forefront of AI and machine learning advancements.

💡 Responsibilities

Lead and mentor a team of AI engineers, providing technical guidance, coaching, and fostering their growth.
Collaborate with product managers and stakeholders to define AI project objectives, requirements, and timelines.
Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges.
Oversee the end-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.
Stay updated with the latest advancements in AI and machine learning, incorporating best practices into projects.
Drive data-driven decision-making through advanced analytics and visualization techniques.
Ensure the security, scalability, and efficiency of AI solutions.
Lead research efforts to explore and integrate cutting-edge AI techniques.

Backend Development Leadership Python SQL Artificial Intelligence ETL Keras Machine Learning Numpy PyTorch Algorithms REST API Pandas Tensorflow Data visualization Team management Data modeling Data analytics

Posted 5 days ago

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🔥 Director of Machine Learning

Posted 7 days ago

📍 United States

💸 220000.0 - 250000.0 USD per year

🔍 Machine Learning

🏢 Company: Inspiren👥 11-50💰 $2,720,602 over 2 years agoMachine Learning Analytics Information Technology Health Care

🔧 Requirements

8+ years of professional experience in machine learning, software engineering, or a similar domain
5+ years with machine learning algorithms, model development, and model deployment
5+ years of experience with computer vision
1+ years of experience with generative AI
5+ years of demonstrated ability to provide technical leadership, mentor team members, and drive consensus among diverse stakeholders
3+ years in advanced algorithm design and analysis
Proficiency in Python, R, or Scala languages for data science
Experience with TensorFlow, Keras, or PyTorch for neural network modeling
Ability to optimize machine learning models for performance
Proven track record of deploying machine learning models into production
Excellent communication and presentation skills, with the ability to explain complex ideas clearly and concisely
Proven ability to collaborate effectively in a cross-functional environment

💡 Responsibilities

Develop strategic goals for machine learning that are in sync with current industry trends and Inspiren’s business objectives. Provide guidance on resource distribution for projects and identify risks and opportunities within the machine learning landscape to inform decision-making.
Oversee the design of innovative machine learning models and algorithms, and refine existing ones to enhance performance and accuracy. Collaborate with cross-functional teams to successfully integrate these algorithms into our product offerings.
Mentor and nurture the professional growth of senior machine learning experts. Foster an environment that emphasizes continuous learning and innovation among the team.
Drive innovative research and development in machine learning to keep our technology at the forefront. Implement the latest machine learning technologies to enhance product capabilities and maintain competitive edge.

Python Data Analysis Image Processing Keras Machine Learning Numpy PyTorch Algorithms Data Structures Pandas Tensorflow Scala Data modeling

Posted 7 days ago

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🔥 Senior Machine Learning Engineer - Fraud

Posted 7 days ago

📍 Africa, Europe, Americas

🧭 Permanent

🔍 FinCrime

🏢 Company: Zepz👥 1001-5000💰 $267,000,000 Series F 5 months ago🫂 Last layoff over 1 year agoMobile Payments Financial Services Payments FinTech

🔧 Requirements

4+ years of professional experience training and deploying models that deliver measurable value (regression, clustering, decision trees, cost-sensitive Machine Learning etc with an emphasis on gradient boosting-based methods).
You have strong SQL skills, confidently able to pull and manipulate data to get into the desired format for modelling (CTEs, joins, case statements, subqueries)
Possess strong Python skills, able to automate processes and deploy applications. you are able to deploy your stuff and be able to set up at least basic monitoring.
Familiar with building and deploying web applications using Python web frameworks.
Experience in one or more of the following areas:
Machine Learning (Scikit Learn, XGBoost, H2O etc...)
SQL Analytics (BigQuery, Redshift, Databricks, Athena, etc)
Visualisation Tools (Mode, matlibplot, seaborn, streamlit Looker, Tableau, Periscope, etc)

💡 Responsibilities

Modernization our FinCrime Machine Learning Pipeline
Evaluate and integrate new data sources for our algorithms, aligning with Data Engineering and Analytical Engineers' best practices for dbt
In collaboration with Data Scientist, automate the training and deployment of updated models, ensuring the output is tested, scalable and documented and checks are in place to identify drift.
Help build experiments framework to evaluate new models, third-party data sources and tooling.
Translate commercial requirements into technical solutions, converting real-world problems into solvable data science projects, resulting in insights that further the strategy and enable visibility into key results
Improving existing models through greater scrutiny of the methodology and improving the input data
Develop strategies and tools to help less technical individuals understand and use the models and results.

AWS Docker Python SQL Kubernetes Machine Learning Numpy Algorithms Data science Data Structures Regression testing Pandas Communication Skills Analytical Skills CI/CD Problem Solving RESTful APIs DevOps Data visualization Data modeling

Posted 7 days ago

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